author keywords: bias (epidemiology); epidemiologic methods; propensity score; simulation study; trimming; unmeasured confounding; variance; weighting

MeSH headings : Bias; Computer Simulation; Epidemiologic Studies; Humans; Logistic Models; Models, Statistical; Propensity Score; Research Design

TL;DR: To extend previous simulations on the performance of propensity score (PS) weighting and trimming methods to settings without and with unmeasured confounding, Poisson outcomes, and various strengths of treatment prediction, studies with a binary intended treatment T as a function of 4 measured covariates were simulated. (via Semantic Scholar)